About the role
Design and maintain scalable data pipelines, backend services, and infrastructure supporting AI Agent systems and high-volume data operations. Monitor production health, improve reliability and observability, resolve infrastructure and pipeline issues, and collaborate with cross-functional teams to support platform requirements.
What they look for
Requirements
Requires 3–6 years of backend development experience, recent production experience with Golang, and a background building data pipelines or large-scale data processing systems. Candidates should understand distributed systems, microservices, databases, and message queues, with experience in AI/LLM integration or observability; a bachelor's degree or higher in a relevant technical field is required.
Benefits
Full description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Golang Developer based in India.
This role focuses on building scalable backend and data infrastructure that supports modern AI Agent systems and high-volume data operations. You will design and maintain data pipelines, backend services, monitoring capabilities, and observability tools for production environments. The position combines Golang development with distributed systems, data platforms, AI/LLM integration, and platform reliability. You will work closely with AI, product, frontend, DevOps, and QA teams to align infrastructure with evolving platform requirements. A key part of the role is ensuring data quality, pipeline stability, and the health and observability of AI-powered systems. You will also help maintain existing services and contribute to long-term platform stability in a fast-paced, product-driven environment.
\n
Accountabilities:
- Design, build, and maintain scalable data pipelines and platform infrastructure supporting data ingestion, processing, and distribution.
- Develop and maintain backend services integrated with AI Agent systems and production AI/LLM workflows.
- Build, manage, and monitor Agent workflows and related infrastructure to ensure reliable production performance.
- Develop monitoring, alerting, and observability capabilities covering data quality, pipeline stability, and AI system health.
- Collaborate with AI, product, frontend, DevOps, and QA teams to align data infrastructure with platform and AI Agent requirements.
- Support and maintain existing backend services, including B9, ensuring operational stability and continuity during team transitions.
- Identify and resolve infrastructure, pipeline, and backend issues while contributing to continuous improvements in reliability and scalability.
- Help establish robust engineering practices for monitoring, troubleshooting, and maintaining AI-enabled backend systems.
Requirements:
- 3–6 years of backend development experience, with Golang as the primary technology and recent hands-on production experience.
- Proven experience building data pipelines, data platforms, or large-scale data processing systems.
- Experience with AI monitoring, observability tools, or Agent engineering, with the ability to integrate AI and LLM workflows into production backend systems.
- Strong understanding of distributed systems and microservice architectures.
- Practical experience with relational and NoSQL databases and message queue technologies such as Kafka.
- Familiarity with AI Agent frameworks, LLM integration, or related AI tooling and development practices is a plus.
- Strong communication and collaboration skills, with the ability to work effectively in a fast-paced, product-focused environment.
- Bachelor's degree or higher in Computer Science, Engineering, or a related technical field.
Benefits:
- Work-from-home arrangement, with the specific setup varying according to business team and role requirements.
- Competitive salary and company benefits.
- Opportunity to work on AI Agent systems, LLM integrations, data platforms, and scalable backend infrastructure.
- Exposure to distributed systems, microservices, observability, message queues, and modern AI tooling.
- Collaboration with cross-functional AI, product, engineering, DevOps, and QA teams.
- Fast-paced, innovative environment with opportunities for autonomy and professional growth.
- Continuous learning and career development opportunities.
- Opportunity to contribute to high-scale technology products and production systems.
\nHow Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
#LI-CL1
Similar roles
-
Golang Software Engineer - Paris - H/F
Iliad - Free Paris, Ile-de-France, France
-
Hiring | Principal Golang Architect | Remote | Independent Visa
TMS LLC Coos County, Oregon, United States
-
Golang Senior Software Engineer
Bread Financial Bengaluru, Karnataka, India
-
Product Engineer (Golang)
MLabs London, England, United Kingdom
-
Senior/Distinguished Technical lead (Golang )
Thales Noida, Uttar Pradesh, India
-
Full-stack Engineer 4 (GoLang)
Capital One Chicago, Illinois, United States · $179K–$225K/yr